Ketamine

The effects of ketamine on symptoms of depression and anxiety in real-world care settings: a retrospective controlled analysis

This retrospective controlled analysis (n=2758) conducted in ten community clinics across the US evaluates the impact of Ketamine Intravenous Therapy (KIT) on depression and anxiety symptoms. Results indicate significant reductions in both anxiety and depression symptoms post-induction (Cohen's d = 1.17 and d = 1.56, respectively) and greater depression symptom reduction at eight weeks compared to KIT-naive patients or those beginning standard antidepressant therapy (Cohen’s d = -1.03 and d = -0.62 respectively).

Authors

  • Heifets, B. D.
  • Hietamies, T. M.
  • Klise, A. J.

Published

Journal of Affective Disorders
individual Study

Abstract

Introduction Ketamine intravenous therapy (KIT) appears effective for treating depression in controlled trials testing a short series of infusions. A rapidly proliferating number of clinics offer KIT for depression and anxiety, using protocols without a strong evidence basis. Controlled comparison of mood and anxiety from real-world KIT clinics, and the stability of outcomes, is lacking.Methods We performed a retrospective controlled analysis on patients treated with KIT in ten community clinics across the US, between 08/2017-03/2020. Depression and anxiety symptoms were evaluated using the Quick Inventory of Depressive Symptomatology-Self Report 16-item (QIDS) and the Generalized Anxiety Disorder 7-item (GAD-7) scales, respectively. Comparison data sets from patients who did not undergo KIT were obtained from previously published real-world studies.Results Of 2758 patients treated, 714 and 836 met criteria for analysis of KIT induction and maintenance outcomes, respectively. Patients exhibited significant and concordant reduction in both anxiety and depression symptoms after induction (Cohen's d = 1.17 and d = 1.56, respectively). Compared to two external datasets of KIT-naive depressed patients or patients starting standard antidepressant therapy, KIT patients experienced a significantly greater reduction in depression symptoms at eight weeks (Cohen’s d= -1.03 and d = -0.62 respectively). Furthermore, we identified a subpopulation of late-responders. During maintenance, up to a year post-induction, increases in symptoms were minimal.Limitations Due to the retrospective nature of the analyses, interpreting this dataset is limited by incomplete patient information and sample attrition.Conclusions KIT treatment elicited robust symptomatic relief that remained stable up to one year of follow-up.

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Research Summary of 'The effects of ketamine on symptoms of depression and anxiety in real-world care settings: a retrospective controlled analysis'

Introduction

Ketamine intravenous therapy (KIT) has been shown in controlled trials to produce rapid antidepressant effects when delivered as a limited series of infusions, and prior studies also report benefit for anxiety symptoms in treatment-resistant depression and anxious bipolar depression. Real-world clinic populations, however, are typically more heterogeneous than trial samples, often presenting with comorbid anxiety and depression, and many clinics now use KIT protocols that diverge from those tested in controlled research. As a result, there is limited controlled comparison of mood and anxiety outcomes, and of the stability of those outcomes, from KIT delivered in routine care settings. Hietamies and colleagues set out to measure the impact of KIT on self-reported depressive and anxiety symptoms across both induction and maintenance phases in a large, multisite, real-world dataset. The study additionally compared KIT outcomes to two external datasets — one observational sample of patients evaluated but not treated with ketamine and one clinical trial sample initiating standard antidepressant monotherapy — to contextualise treatment-specific effects and address confounds such as regression to the mean and expectancy effects. The investigators hypothesised that KIT would show superior symptom reductions compared with these control samples and that benefits would remain stable during maintenance treatment.

Methods

This was a retrospective, de-identified, HIPAA-compliant pooled dataset of patients treated with KIT at ten Actify Neurotherapies clinics across nine US states between August 2017 and March 2020. The initial extraction comprised 2,758 patients who received at least one KIT-related visit; patients were largely self-referred and paid out-of-pocket. Available demographic information included age, sex, and clinical diagnoses, but the extracted text does not clearly report details such as concurrent psychotropic medications, psychosocial support, or ketamine dosing parameters. Symptoms were measured using patient self-report: the Quick Inventory of Depressive Symptomatology–Self Report 16-item (QIDS; range 0–27) and the Generalized Anxiety Disorder 7-item scale (GAD-7; range 0–21). Questionnaires were completed at intake, at the first maintenance visit (typically the seventh infusion), and at subsequent visits. The investigators defined induction a priori as at least four infusions within 28 days, although due to the measurement schedule all included subjects in the analysed outcomes received at least seven infusions; any further infusions were classified as maintenance. Inclusion for the primary clinical outcomes required a baseline QIDS and GAD-7, completion of the induction series, and a follow-up QIDS and GAD-7 at the start of maintenance. The study team notes that the extraction does not clearly state ketamine dose/concentration or the presence/absence of concurrent psychological therapy. For comparison, two external datasets were used: an observational ‘‘no ketamine treatment’’ sample of 276 subjects who had a KIT intake but received zero KIT visits and had PHQ-9 outcomes at baseline and 21–42 days; and data from 1,008 participants in the iSPOT-D study who were randomised to escitalopram, sertraline, or venlafaxine-XR and assessed with QIDS up to eight weeks. Statistical methods included within-sample and between-group t-tests, chi-square tests for categorical outcomes, Pearson correlations, Cohen's d effect sizes, and multilevel mixed-effects models (random intercepts) with a fixed linear time effect to estimate maintenance-phase trends. To compare samples using different outcome measures, the investigators computed normalized change scores ((follow-up − baseline) / SD baseline). An alpha of 0.05 was used for hypothesis testing and analyses were performed in Python 3.8.

Results

From the initial 2,758-subject dataset, 836 met inclusion criteria for maintenance-phase analyses and 714 (a subset) met criteria for post-induction outcomes (first post-induction visit within 28 days). Attrition during induction was substantial: 533 subjects (19%) had zero induction visits logged, and retention across induction visits fell to 61.3% by visit 6. Subjects included in the post-induction analysis had higher baseline depressive severity (median QIDS 18.0) than those excluded (median 15.7). Across the analysed completer sample, mean total infusions were 13.3 (SD 7.9, median 11). Mean QIDS fell from 18.0 at baseline (SD 4.6) to 9.6 at post-induction (SD 5.3), a mean change of −8.36 (SD 5.4), which was statistically significant (t = 41.6, p < 0.001, 95% CI [−8.76, −7.97]) with a large effect size (d = −1.56). By the QIDS, n = 351 (49.2%) met response criteria post-induction and n = 187 (26.2%) remitted. For anxiety, mean GAD-7 declined from 15.2 (SD 5.7) to 8.6 (SD 5.6) post-induction, a mean change of −6.68 (SD 5.7), also statistically significant (t = 31.0, p < 0.001, 95% CI [−7.09, −6.26]) with d = −1.17; response and remission rates were n = 337 (47.5%) and n = 183 (25.6%), respectively. Baseline severity correlated negatively with change (QIDS r = −0.45; GAD-7 r = −0.51), indicating greater absolute improvement among those with higher baseline scores. Change scores for QIDS and GAD-7 were strongly correlated (r = 0.60), and 90–95% of participants were classified as the same or improved on each measure. Suicidal ideation (QIDS item 12) was present in 597/731 (81.6%) at baseline; among these, 409/597 (70%) reported improvement in SI at post-induction and 290/597 (49%) reported no SI. Across all patients, 41 (5.7%) showed worsening of SI at follow-up, mostly by a single-point increase. When compared with the observational non-ketamine sample (n = 276 PHQ-9 assessed), that control group showed a reduction in PHQ-9 (b = −5.34, d = −1.00). The KIT induction sample experienced a significantly larger normalised reduction in depressive symptoms (t = −10.01, p < 0.001; between-group d = −1.03). Worsening of depression at follow-up occurred in 4.5% of KIT patients versus 16.7% in the non-treatment sample (chi-square, p < 0.001). Compared with the iSPOT-D antidepressant-treated cohort (n = 1,008), which showed a QIDS reduction of b = −3.48 (d = −0.92) at eight weeks, the KIT group again had a greater normalised reduction (t = −16.26, p < 0.001) and fewer individuals with worsened depression (KIT 4.5% vs iSPOT-D 9.5%, p < 0.001). Effect-size differences favouring KIT were largest at earlier time points (d = −1.09 at 2 weeks) and remained present though attenuated by eight weeks (d = −0.62). During maintenance (visits 7–26), both QIDS and GAD-7 scores showed small but statistically significant increasing linear trends per visit (QIDS b = 0.063 per visit, p < 0.001; GAD-7 b = 0.066 per visit, p < 0.001). These per-visit changes were small relative to score variability, with per-visit Cohen's d estimates for QIDS ranging roughly between −0.36 and 0.16, and for GAD-7 between 0 and 0.25. Response and remission rates were relatively stable through visit 16 (when sample retention declined below 20%), with response rates for QIDS between 44.9% and 48.0% and for GAD-7 between 45.8% and 50.1% across visits 7–16. Among induction non-responders who continued into maintenance (n = 386 QIDS, n = 400 GAD-7), cumulative delayed-response rates reached 38.3% for QIDS and 40.5% for GAD-7, with the majority of delayed responders achieving response by visit 12. Overall across post-induction visits, clinical response was achieved in approximately two-thirds of subjects (QIDS 68.3%, GAD-7 68.7%).

Discussion

Hietamies and colleagues interpret these results as evidence that KIT, when delivered as a series of infusions in routine care, is associated with robust reductions in self-reported depressive and anxiety symptoms and with reductions in suicidal ideation among those who complete induction. They emphasise that symptom improvements observed post-induction were clinically meaningful and that many patients who did not respond during induction achieved delayed response during early maintenance, leading to cumulative response rates near 67%. The investigators acknowledge important limitations of retrospective real-world data. High attrition during induction (~40% dropped out prior to a minimum of four infusions) likely inflates observed effect sizes among completers; the dataset was also limited by incomplete patient-level information and inability to fully account for confounds such as concurrent treatments, non-specific expectancy effects, and regression to the mean. To address some of these concerns, the authors compared KIT outcomes to two external datasets and found consistently larger improvements and lower rates of symptomatic worsening in KIT patients than in both an observational non-treatment sample and an antidepressant-treated clinical trial cohort, noting that these comparisons are imperfect but provide context for non-specific influences. Regarding comorbidity, the study found no evidence that high baseline anxiety reduced KIT's antidepressant effect; reductions in anxiety and depression were concordant. The authors situate their findings within prior KIT real-world and controlled studies, noting similar response and remission rates and emphasising reproducibility across clinical populations. Finally, they caution that maintenance-phase inferences are limited by attrition at later visits and that the retrospective design and missing details (for example, dosing and adjunctive psychosocial support are not clearly reported in the extracted text) constrain causal interpretation. Despite these caveats, the authors conclude that their real-world evidence supports KIT as an effective treatment option for depressive and anxiety symptoms when administered as a series of infusions.

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INTRODUCTION

Ketamine intravenous therapy (KIT) is a rapid, safe, and effective treatment for depression when delivered as a limited series of infusionsIn addition to depression, KIT also has independent efficacy for anxiety symptoms in adults with treatment-resistant depression (TRD) or anxious bipolar depression). Furthermore, comorbid anxiety symptoms are often associated with a poorer prognosis and treatment resistance). In contrast to most controlled prospective studies, real-world clinic patients often present with comorbid anxiety and depression, highlighting the need to understand KIT outcomes in this heterogeneous patient population.

J O U R N A L P R E -P R O O F

Journal Pre-proof Our aim was to measure the impact of KIT on both depression and anxiety symptoms, spanning both induction and maintenance phases in a large real-world dataset. While real-world data has greater pragmatic value to clinicians than prospective randomized trials, effect size estimates derived from real-world datasets do not have the benefit of a non-treated comparison group to control for placebo response and regression to the mean. Thus, we aimed to compare the effects of KIT on symptom severity with two external data sets: control TRD patients who did not receive) and patients assessed for treatment with standard antidepressant monotherapy in the international study to predict optimized treatment for depression (iSPOT-D)). We hypothesize that KIT provides a superior treatment effect to these control groups and that treatment effects remain stable across the induction and maintenance phases.

DATASET

This HIPAA compliant, de-identified, pooled dataset had 2,758 patients who received KIT through Actify Neurotherapies at one of ten locations across nine states (USA). Patients were treated between 08/2017-03/2020 inclusive. Payment for treatment was out-of-pocket and patients were largely self-referred. The clinics utilized an electronic health record (EHR) platform to monitor the progress of their patients. Available demographic information included age, sex, and clinical diagnoses (Suppl.

CLINICAL PROCEDURES

Patients self-administered the QIDS (scores range from 0 to 27) and the GAD-7 (scores range from 0 to 21) on their initial visit via a tablet prior to their appointment, again at their first maintenance treatment (most typically the seventh infusion), and at subsequent visits thereafter. For the statistical analysis induction was defined a priori as four or more infusions within 28 days, although all included subjects actually received at least seven infusions due to the measurement schedule described above. Any infusions following the induction period were classified as maintenance infusions. Criteria for our analyses included having an initial QIDS and GAD-7 pre-treatment, followed by a complete induction phase and a follow-up QIDS and GAD-7 at the start of maintenance.

J O U R N A L P R E -P R O O F

Journal Pre-proof Patient retention during induction and progression to maintenance Of 2,758 subjects in the original dataset, n=533 (19%) had zero induction visits logged, mainly due to their induction phase predating the creation of the database. These subjects were removed for analyses of retention during the induction phase, leaving a sample of 2,225 who attended at least one induction visit. Retention was n=2,032 (91.3%) at visit 2, n=1,920 (86.3%) at visit 3, n=1,775 (79.8%) at visit 4, n=1,638 (73.6%) at visit 5, and n=1,365 (61.3%) at visit 6. A total of 836 subjects attended at least one maintenance visit. These 836 subjects represented 38% of the sample who attended at least one induction visit, and 63% of the sample that completed visit 6.

STATISTICAL ANALYSIS

Within-sample t-tests analyzed within-group differences in repeated measures of continuous variables. Between-group t-tests and univariate linear regressions estimated group differences in continuous variables. Group differences in categorical variables were estimated using chi-square tests. Pearson's correlations estimated associations between continuous variables. Effect sizes for differences in within-group and betweengroup means were estimated with Cohen's d. For comparison of the current sample to external control samples, we conducted between-group t-tests and computed effect sizes on normalized change scores, defined as (y FOLLOW-UP -y BASELINE ) / SD BASELINE . This approach allowed us to compare samples that used different outcome measures (i.e

J O U R N A L P R E -P R O O F

Journal Pre-proof QIDS vs. PHQ-9). To estimate time trends during maintenance, we utilized multilevel models with random intercepts for subjects and a fixed linear time effect. The alpha level used for all null-hypothesis tests and individual model coefficients was 0.05. All analyses were conducted in Python 3.8.

SAMPLE DESCRIPTION AND KETAMINE INFUSION UTILIZATION

From an original sample of 2,758 subjects, 836 met inclusion criteria for analysis of clinical outcomes (Figure) and were included in maintenance phase analyses. Analyses of post-induction outcomes included 714 subjects (a subset of the n=836 sample) whose first post-induction visit occurred within 28 days after their final induction infusion. This criterion controlled for potential bias induced by patients who did not provide outcomes measures shortly after finishing their induction. Analyses of baseline QIDS showed that subjects included in the post-induction outcomes analysis (median = 18.0) had significantly more severe depression at baseline than other subjects (median = 15.7), t = 9.76, p < 0.001, d = 0.42. All subjects included in clinical outcomes analysis (n=836) completed at least seven total infusions, with a mean of 13.3 total infusion visits (SD = 7.9, median = 11) across induction and maintenance. During induction the mean days between consecutive infusions was 3.2 days (SD = 2.3, median = 2). The first maintenance visit occurred at a mean of 41 days after baseline (SD = 36.0, median = 34) and a mean of 16 days after The mean QIDS score was 18.0 at baseline (SD = 4.6) and 9.6 at post-induction (SD = 5.3; Figure). The mean change in QIDS from baseline to post-induction was -8.36 (SD = 5.4; Suppl. Figure). This reduction was statistically and clinically significant, t = 41.6, p < 0.001, 95% CI [-8.76, -7.97], d = -1.56, representing a change from severe to mild depression. As shown in Figure, for depression n=351 (49.2%) of the sample responded and n=187 (26.2%) remitted. The mean GAD-7 score was 15.2 at baseline (SD = 5.7) and 8.6 at post-induction (SD = 5.6; Figure). The mean change in GAD-7 from baseline to post-induction was -6.68 (SD = 5.7; Suppl. Figure). This was a statistically and clinically significant reduction, t = 31.0, p < 0.001, 95% CI [-7.09, -6.26], d = -1.17. As shown in Figure, for anxiety n=337 (47.5%) of the sample responded and n=183 (25.6%) remitted. Baseline scores were strongly and negatively correlated

J O U R N A L P R E -P R O O F

Journal Pre-proof with change scores for both QIDS (r = -0.45, p < 0.001) and GAD-7 (r = -0.51, p < 0.001), such that subjects with greater baseline severity had greater decreases postinduction. Suicidal ideation (SI) was evaluated with QIDS item 12 raw scores and binary classes (0 vs. 1-3). At baseline n=597 (81.6%) of the sample exhibited any SI. Among these subjects with any SI at baseline, at post-induction n=409 (70%) reported improvement in SI and n=290 (49%) reported no SI. Of the 126 patients with no baseline SI, nine (7%) patients had an increase in SI after induction, with eight out of nine patients reporting a one point increase in SI. Across all patients, n=41 (5.7%) had a worsening of SI scores at follow-up compared to baseline. Of these patients, n= 40 worsened by one point and one patient worsened by two points. We examined the overlap between changes in depression and anxiety from baseline to post-induction. There was a strong, positive correlation between change scores for QIDS and GAD-7, r = 0.60, p < 0.001 (Suppl. Figure). On both the QIDS and GAD-7, subjects were classified as the same or improved vs. worse. Univariate rates of same/improved were (n=682) 95.5% for QIDS and (n=663) 92.9% for GAD-7. There was a high rate of agreement across measures, with (n=657) 92.0% in the same class for QIDS and GAD-7, and (n=644) 90.2% were same or improved on both. Comparison to non-treated and treated controls J o u r n a l P r e -p r o o f

JOURNAL PRE-PROOF

We analyzed post-treatment data for subjects who completed KIT induction. In order to estimate the ketamine-specific effect on outcome, we compared our results to other observational and experimental samples. First we derived an observational "no ketamine treatment" sample from a comparable dataset, utilized in our prior study on). We identified 276 subjects who attended a KIT intake, completed a PHQ-9 at baseline and at 21-42 days of follow-up (median of 28 days), and had 0 visits for KIT. This sample had a statistically and clinically significant reduction in PHQ-9, b = -5.34, t = 14.00, p < 0.001, 95% CI [-6.10, -4.59], d = -1.00. In a comparison between normalized depression change scores, the current KIT induction sample had a significantly greater reduction in depression, t = -10.01, p < 0.001 (Figure), with a large effect-size difference (d = -1.03). Subjects in the KIT sample were also significantly less likely to have worsened depression scores at follow-up (n=32, 4.5%) than the non-treatment sample (n=46, 16.7%), 2 = 39.1, p < 0.001. We also derived outcomes data from 1,008 subjects randomized to treatment with antidepressants in the iSPOT-D study). These subjects received either active escitalopram (n=336), sertraline (n=336), or venlafaxine-XR (n=336), and were assessed with the QIDS at baseline and biweekly follow-up, with eight weeks as the primary outcome timepoint. The reduction in QIDS from baseline to eight weeks was statistically and clinically significant, b = -3.48, t = 26.05, p < 0.001, 95% CI [-3.75, -3.22], d = -0.92 (Figure). When comparing the normalized change scores for depression, the KIT induction group exhibited a significantly greater decrease in depression symptoms, t = -16.26, p < 0.001. Subjects in the KIT sample were also

J O U R N A L P R E -P R O O F

Journal Pre-proof significantly less likely to have worsened depression at 8-week follow-up (n=32; 4.5%) than the iSPOT-D sample (n=96; 9.5%), 2 = 14.7, p < 0.001. Furthermore, patients undergoing KIT had a greater reduction in depression symptoms at every follow-up time point, from 2-8 weeks in iSPOT-D, ranging from a large effect size difference (d = -1.09) at 2 weeks to a medium effect size difference (d = -0.62) at 8 weeks (Figure).

CLINICAL OUTCOMES FROM MAINTENANCE PHASE

During the maintenance phase, depression and anxiety severity increased gradually from visit 7 until visit 26 (Figure). In a multilevel model of QIDS scores, the linear effect of time indicated a statistically-significant increase, b = 0.063, SE = 0.013, z = 4.86, p < 0.001, 95% CI [0.038, 0.089]. An identical model of GAD-7 also showed a statistically-significant increase, b = 0.066, SE = 0.013, z = 5.14, p < 0.001, 95% CI [0.041, 0.092]. Despite the statistically-significant time effects, we observed change pervisit coefficients that were quite small relative to standard deviations in the outcome measures during maintenance (QIDS: b = 0.052, SD = 5.75; GAD-7: b = 0.074, SD = 6.13). We supplemented these models by computing effect size measures of withingroup change. For QIDS, per-visit estimates of d ranged from -0.36 to 0.16, never surpassing d = 0.20, the traditional cutoff for "small" effects (Cohen 2013) For GAD-7, estimates of d ranged from 0 to 0.25, only rising above d=0.20 once at visit 16. Of note, outcomes at later maintenance visits were impacted by heavy attrition such that inferences regarding symptom severity trajectory were less reliable (Suppl. Figure). For example, only 357 (42.7%) of maintenance phase subjects provided outcomes at

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Journal Pre-proof visit 12, and only 174 (20.8%) provided outcomes at or beyond visit 16. We do not have data to impute the reasons for this attrition. During the first half of maintenance phase data, both response and remission rates remained stable relative to the first post-induction visit (Suppl. Figure). From visits 7 to 16, response rates ranged from 44.9% (160/356) to 48% (361/747) for depression symptoms (QIDS) and from 45.8% (163/356) to 50.1% (217/433) for anxiety symptoms (GAD-7). Beyond visit 16 (where less than 20% of the sample was retained), response was less stable, ranging from 33.3% (11/33) to 48.1% (26/54) for QIDS and 33.3% (11/33) to 50.0% (27/54) for GAD-7. Remission rates followed a similar pattern. From visits 7 to 16 remission rates ranged from 20% (34/170) to 27.7% (120/433) for QIDS and 24.0% (59/246) to 28.9% (103/356) for GAD-7, with less stability thereafter. Given that a majority of subjects were not classified as responders after the initial KIT induction, we conducted a secondary analysis to describe the propensity of induction non-responders to achieve clinical response during maintenance. This analysis included maintenance phase subjects who were not classified as responders at their first postinduction visit and had data from subsequent visits (n=386 for QIDS, n=400 for GAD-7). Cumulative rates of delayed response during maintenance reached (n=148) 38.3% for QIDS and (n=162) 40.5% for GAD-7 (Suppl. Figure). For the induction nonresponders who achieved delayed response during maintenance, cumulative response by visit 12 was 93.2% (n= 138/148) for QIDS and 93.8% (n=152/162) for GAD-7. Across all post-induction visits (including the initial responders), clinical response was J o u r n a l P r e -p r o o f achieved for approximately two-thirds of subjects (QIDS: n=571 (68.3%), GAD-7: n=574 (68.7%); Figure).

DISCUSSION

In this real-world population, KIT is associated with a significant reduction in selfreported symptoms for anxiety, depression and suicidality in individuals that complete 6 induction infusions with these effects remaining relatively stable across the maintenance period. However, as ~40% of the patients who initiated KIT dropped out prior to completing a minimum of 4 infusions, these effects are an overestimate of the effectiveness of KIT. To address these confounds, we drew from two independent datasets, assessing mood survey data from firstly, patients evaluated for, but not receiving ketamine therapy, and secondly, from patients treated with conventional antidepressant (i.e. SSRIs or SNRIs); in both cases, we found a consistently greater effect of KIT. We also noted lower rates of symptomatic worsening in individuals receiving KIT compared to those who did not receive KIT over a similar time period. Finally, we identified a subpopulation of delayed responders, who achieved a clinical response after induction, during the early maintenance phase of treatment.

SYMPTOM RELIEF IN KIT TRIALS

The current study adds to the previous work by our group and others who have reported response rates to KIT ranging from 45% to 54% at the end of induction (Alnefeesi et al. Additionally, in the current dataset 26% of patients reported remission of their depression symptoms, compared to 29%-30% in previous studies that collectively span over 2,000 patients. The similarities between these multiple studies highlight the reproducibility of KIT RWD and point towards a stable response across multiple patient populations. Furthermore, we found that cumulative response rates reached 67% of the sample early in the maintenance phase, due to delayed responders.

COMORBID ANXIETY AND DEPRESSION

We found a strong relationship between baseline anxiety and depression, but we did not note any reduction in the efficacy of KIT for depression in patients with high GAD-7 scores at baseline. This complements previous studies wherein comorbid anxiety symptoms did not diminish the antidepressant effects of KIT in TRD patients given a single infusion of KIT up to 28 days post-infusion; Salloum et al. J o u r n a l P r e -p r o o f 2019). We found a concordant reduction in both symptoms with repeat infusions, which was sustained up to the first post-induction visit. These data hint at an additional treatment option for anxious depression, a condition for which classical antidepressants may have less efficacy).

SYMPTOM REDUCTION ACROSS MULTIPLE PATIENT COHORTS

Real-world observational data is confounded by two powerful but nonspecific therapeutic effects: first, patients may present for treatment during acute symptomatic flares, creating a sampling bias and subsequent false positive treatment effect known as "regression to the mean''; second, the effect of initiating any therapy may be associated with positive expectancy and improved mood ratings. We compared our KIT data to two external datasets to address these issues. To estimate regression to the mean, we compared KIT patients in this study to patients who did not receive ketamine in a similar real-world study (McInnes et al 2022). Notably, this comparison dataset is subject to a similar dropout bias that we note for the present data; nonetheless, we found a clinically meaningful, significant benefit of KIT here. To estimate the effect of expectancy associated with beginning any new therapy, we also compared our data to outcomes derived from patients initiating SSRI or SNRIclass antidepressants which typically require at least 6-8 weeks to achieve full therapeutic efficacy. At each timepoint (up to eight weeks) we again found a clinically and statistically significant benefit of KIT. Remarkably, we found that these two independently derived datasets showed very

SUMMARY

In summary, despite acknowledged limitations, we find further clinically meaningful realworld evidence that KIT is an effective treatment for symptoms of depression and anxiety when given as a series of infusions.

Study Details

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